Top Tweets for #RadImageNet
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina.
Action editor: Jessica Schrouff.
https://t.co/FLYVHRYauV
#imagenet #radimagenet #learned
new collabs
~@FerringUSA, @BioCPH enter strategic collabto accelerate #Innovation in #WomensHealth
~@CercareMedical enters partnership with @ConcertAI
~@Segmed_ai, @nvidia, #RadImageNet kickstart #GenerativeAI initiative for #SyntheticMedicalImaging data
#세그메드∙#엔비디아∙#라드이미지넷, 의료 데이터 상용화 협약 체결 (Segmed, NVIDIA, and RadImageNet Partner to Commercialize Synthetic #MedicalImaging Data)
👉#AI #Segmed #NVIDIA #RadImageNet #Medical #ImagingData
Read more⤵️
https://t.co/SkuqUvnrSZ
#Segmed, #NVIDIA, and #RadImageNet Kickstart Generative AI Initiative
✅Segmed, NVIDIA and RadImageNet announce collaboration to generate and commercialize synthetic #medical #imagingdata
👉#AI #엔비디아 #세그메드
Read more⤵️
https://t.co/6K70J3e3wg
Using medigan's models, we tested FID variation based on not only #ImageNet but also #RadImageNet pretrained Inception classifiers. We also suggest a FIDratio to account for the FID variation present in real datasets.
Info and results in the paper: https://t.co/KhU6a9cgN4
[4/5]
RadImageNet: An Open Radiologic #DeepLearning Research Dataset for Effective #TransferLearning
" #RadImageNet pretrained models demonstrated better interpretability compared with ImageNet models"
https://t.co/x81wWLGzCn
#ImagingAI @Radiology_AI
Hey @wightmanr, just wanted to put this interesting and newly released dataset on your radar. May be worth having some of the awesome TIMM models with pre-trained weights from #RadImageNet.
https://t.co/pIFxD6CeYB
#RadImageNet was introduced today in this paper
https://t.co/Z4cTN4GJYy
This will definitely be a valuable resource for researchers.
I hope it advances ML for medical imaging similar to what #ImageNet did for computer vision in general.
their website: https://t.co/VYwbfeI7fl
@BMEIIsinai @XueyanMei @AmishDoshiMD @XueyanMei beautiful and impactful work again. Huge congrats to all who helped with this @BMEIIsinai #strong #ai #ml #radimagenet #notafraid
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